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greenhouse

Middle Data Analytics Engineer

N-iX
Terryville, USA
Mid · 3–5 years experience
Discovered 1 weeks ago
bigquerydbtpythonsnowflakesql
Free

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We are looking for a Middle Data Analytics Engineer to build reusable, production-grade pipelines that power our data deals, which are large-scale curated training sets for leading AI labs.

You’ll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies.

Responsibilities

  • Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata.
  • Map customer requirements to our existing metadata and apply data modelling practices to maximize reusability and scalability
  • Build DBT models that are capable of querying up to 1B rows efficiently
  • Refine DBT models based on visual QA to ensure accurate datasets at scale.
  • Propose and implement automated solutions that streamline the curation process and increase scalability.
  • Serve as the engineering point of contact, partnering with Business Development to ensure accurate timelines, clear requirements, and manage all technical implementation pieces of the workflow
  • Assist the expansion of the data curation workflow to accommodate data science approaches within DBT, streamline the review process to ensure a more rigorous statistical approach with more comprehensive testing

Requirements

  • Strong SQL background with an understanding of query optimization and Snowflake experience.
  • DBT experience preferred.
  • Great communication skills.
  • 3-5 years of experience in analytics/data engineering.
  • Perform code reviews and collaborate with the team to create an optimized ecosystem.

Nice to have:

  • BigQuery.
  • Python.
  • ClickHouse.
  • Experience delivering projects in an operational environment.
  • Interest in data science to aid the understanding of customer use cases.
  • Interest in photography, music and video creation.

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

not applicable for freelancers

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